High-throughput analysis of hazards in novel food based on the density functional theory and multimodal deep learning.

The emergence of cultured meat presents the potential for personalized food additive manufacturing, offering a solution to address future food resource scarcity. Processing raw materials and products in synthetic food products poses challenges in identifying hazards, impacting the entire industrial chain during the industry's further evolution. It is crucial to examine the correlation of biological information at different levels and to reveal the temporal dynamics jointly. Proposed active prevention method includes four aspects: (i) Investigating the molecular-level mechanism underlying the binding and dissociation of hazards with proteins represents a novel approach to mitigate matrix effect. (ii) Identifying distinct fragments is a pivotal advancement toward developing a novel screening strategy for hazards throughout the food chain. (iii) Designing an artificial intelligence model-based approach to acquire multi-dimensional histology data also holds significant potential for various applications. (iv) Integrating multimodal data is a practical approach to enhance evaluation and feedback control accuracy.

Integrative deep learning framework predicts lipidomics-based investigation of preservatives on meat nutritional biomarkers and metabolic pathways.

Preservatives are added as antimicrobial agents to extend the shelf life of meat. Adding preservatives to meat products can affect their flavor and nutrition. This review clarifies the effects of preservatives on metabolic pathways and network molecular transformations in meat products based on lipidomics, metabolomics and proteomics analyses. Preservatives change the nutrient content of meat products via altering ionic strength and pH to influence enzyme activity. Ionic strength in salt triggers muscle triglyceride hydrolysis by causing phosphorylation and lipid droplet splitting in adipose tissue hormone-sensitive lipase and triglyceride lipase. DisoLipPred exploiting deep recurrent networks and transfer learning can predict the lipid binding trend of each amino acid in the disordered region of input protein sequences, which could provide omics analyses of biomarkers metabolic pathways in meat products. While conventional meat quality assessment tools are unable to elucidate the intrinsic mechanisms and pathways of variables in the influences of preservatives on the quality of meat products, the promising application of omics techniques in food analysis and discovery through multimodal learning prediction algorithms of neural networks (e.g., deep neural network, convolutional neural network, artificial neural network) will drive the meat industry to develop new strategies for food spoilage prevention and control.

[The impact of anxiety levels in male soldiers with infertility on stress coping strategies and the quality of fertility life].

OBJECTIVE: To explore and analyze the correlation between anxiety levels, coping strategies, and fertility quality of life in male soldiers with infertility. METHODS: A questionnaire survey was conducted on 480 male soldiers with infertility who visited the Reproductive Medicine Department of the Eastern Theater Command General Hospital from June 2022 to February 2023, analyze the impact of anxiety levels on stress coping strategies and fertility quality of life in male officers and soldiers with infertility. RESULTS: Self evaluation scale score is (43.06 ± 15.02), Fertility Quality of Life Scale score is （52.11 ± 36.68）, Trait Coping Style Questionnaire score is (48.45 ± 23.15). The relevant analysis results show that there is a negative correlation between the scores of the Self Rating Anxiety Scale and the Reproductive Quality of Life Scale, a positive correlation between the scores of the Self Rating Anxiety Scale and the Trait Coping Style Questionnaire, and a positive correlation between the scores of the Reproductive Quality of Life Scale and the Trait Coping Style Questionnaire. The results of multiple regression analysis showed that years of infertility, history of childbirth, anxiety level, and coping strategies entered the regression equation. The anxiety level of male officers and soldiers with infertility has a mediating effect on the relationship between stress coping styles and quality of life during childbirth. CONCLUSION: The mental health status of male officers and soldiers with infertility is poor, and their coping strategies and quality of life during childbirth are at a moderate to low level. This indicates that more attention should be paid to the special group of male officers and soldiers with infertility, and psychological intervention should be strengthened in routine treatment. Provide support from different perspectives to address concerns and enhance the combat effectiveness of the military.

Predictive Values of Serum Biochemical Markers and Apparent Diffusion Coefficient on Delayed Encephalopathy After Acute Carbon Monoxide Poisoning.

AIM: To explore the predictive values of serum biochemical markers and apparent diffusion coefficient (ADC) on delayed encephalopathy after acute carbon monoxide poisoning (DEACMP). MATERIAL AND METHODS: Seventy-nine patients were divided into two groups based on the onset of DEACMP 60 days after with acute carbon monoxide poisoning. The baseline data of ACMP patients were collected. Serum levels of cardiac troponin I (cTNI), lactic acid (Lac), carboxyhemoglobin (COHb), creatine kinase (CK), creatine kinase isoenzyme (CK-MB), lactate dehydrogenase (LDH), C-reactive protein (CRP), and neuron-specific enolase (NSE) were measured within 24 hours of ACMP onset. The ADC of globus pallidum, centrum semiovale, and periventricular white matter were recorded by diffusion-weighted magnetic resonance imaging (DW-MRI) within 48 hours of admission. Logistic regression analysis was performed to determine the risk factors for DEACMP. RESULTS: The incidence of coma and duration of poisoning in the DEACMP group were significantly higher than those in the non-DEACMP group. The levels of Lac, CK, CK-MB, LDH, CRP and NSE in the DEACMP group were higher than those in the non- DEACMP group. The ADC value of globus pallidus in the DEACMP group was significantly higher than that in non-DEACMP group. The duration of poisoning, coma degree, CK, LDH, NES, and CRP were closely associated with the occurrence of DEACMP. CONCLUSION: The duration of poisoning, coma degree, and serum levels of CK, LDH, CRP, and NSE were independent risk factors for DEACMP.

Associations of severity of fatty liver with oxidative stress, SAA, CRP and degree of cerebral arteriosclerosis in cerebral arteriosclerosis patients who have fatty liver.

OBJECTIVE: To analyze the associations of severity of fatty liver with oxidative stress, serum amyloid protein A (SAA), C-reactive protein (CRP) and degree of cerebral arteriosclerosis (CAS) in CAS patients with the complication of fatty liver, and to explore the predictive values of risk factors for these patients. METHODS: A total of 200 patients diagnosed with CAS in our hospital from October 2016 to November 2018 were selected, including 90 cases with fatty liver (observation group) and 110 cases without fatty liver (control group), and there were 123 males and 77 females. The general clinical data, liver function, oxidative stress status, inflammatory factor levels, and degree of CAS were compared between the two groups, and their correlations and influencing factors were explored. RESULTS: 1) There were no significant differences in the age, gender, and high-density lipoprotein (HDL) level between the observation group and control group (P>0.05). The body mass index (BMI), total cholesterol (TC), triglyceride (TG) and low-density lipoprotein (LDL) levels in the observation group were significantly higher than those in the control group. 2) The levels of liver function indexes, including alanine aminotransferase (ALT), aspartate aminotransferase (AST) and gamma-glutamyl transpeptidase (GGT), in the observation group were significantly higher than those in the control group, all (P<0.05). 3) In terms of the oxidative stress, the level of malondialdehyde (MDA) in the observation group was higher than that in the control group, while the levels of superoxide dismutase (SOD) and glutathione (GSH) in the observation group were obviously lower than in the control group, all (P<0.05). 4) The levels of inflammatory factors, including SAA, CRP and interleukin-6 (IL-6), in the observation group were much higher than those in the control group (P<0.05). 5) Observation group had higher whole blood low shear viscosity, whole blood high shear viscosity, and plasma viscosity than the control group (P<0.05). 6) ALT (r = 0.422, P = 0.000) and SAA (r = 0.828, P = 0.000) had positive correlations with the plasma viscosity, while GSH (r = -0.719, P<0.001) had a negative correlation with the plasma viscosity. CONCLUSION: The liver function index levels, oxidative stress status, and inflammatory factor levels in CAS patients may affect the severity of arteriosclerosis and fatty liver.

[Colonization of group B streptococcus in the semen of chronic prostatitis patients of childbearing age and its influence on perinatal outcomes].

OBJECTIVE: To investigate the colonization of group B streptococcus (GBS) in the semen of chronic prostatitis patients of childbearing age and its influence on perinatal outcomes. METHODS: This retrospective study included 592 cases of chronic prostatitis and another 472 non-prostatitis healthy males as controls. We collected semen samples from the subjects for bacterial and Ureaplasma urealyticum (UU) culture and quantitative fluorescence PCR analysis of chlamydia trachomatis (CT) and GBS. According to the results of culture, we divided the patients into a GBS-positive and a GBS-negative group and compared the perinatal outcomes among different groups of subjects. RESULTS: The rate of GBS colonization in the semen of the chronic prostatitis patients was 11.8% (70/592). Bacteria were detected in the semen of 54.4% of the patients (322/592), mainly including GBS (21.7% ï¼»70/322ï¼½) and E coli (19.9% ï¼»64/322ï¼½), and in 7.8% of the healthy controls (37/472), Staphylococcus aureus comprising 83.8% (31/37), with statistically significant difference in the rate of bacteria detection between the two groups (P < 0.01). The incidence rate of adverse perinatal outcomes in the cases of successful pregnancy was significantly higher in the GBS-positive (32.8% ï¼»19/58ï¼½) than in the GBS-negative (22.0% ï¼»29/132ï¼½) and the healthy control group (2.2% ï¼»6/271ï¼½) (P < 0.05). CONCLUSIONS: The rate of GBS colonization is significantly increased in the semen of chronic prostatitis patients of childbearing age, and so is the incidence of adverse perinatal outcomes in the spouses of GBS-positive males. Importance should be attached to normalized screening of GBS in chronic prostatitis patients and to standardized prevention and intervention as well.

Advanced glycation end product concentrations in follicular fluid of women undergoing IVF/ICSI with a GnRH agonist protocol.

The accumulation of advanced glycation end products (AGE) is associated with ovarian dysfunction. This study examines whether the accumulation of AGE in follicular fluid affects ovarian responsiveness and embryo quality during IVF/intracytoplasmic sperm injection (IVF/ICSI) with a gonadotrophin-releasing hormone (GnRH) agonist protocol. The levels of AGE in follicular fluid were measured in 127 women undergoing IVF/ICSI in GnRH agonist cycles. Plasma hormones were also measured. Embryos were graded using standard approaches. There were inverse associations between follicular fluid AGE concentration and number of oocytes retrieved, number of fertilized oocytes, number of high-quality embryos, fertilization rate and high-quality embryo rate, adjusted for potential confounders. AGE concentration in follicular fluid was significantly higher in women with an ovarian response below the target (<7 oocytes) compared with those reaching the target (7-15 oocytes) or above the target (>15 oocytes). The cut-off value of 15.3 µg/ml for follicular fluid AGE showed 84.6% sensitivity and 55.5% specificity in evaluating the response to ovarian stimulation as below the target. The results suggest that ovarian responsiveness and embryo quality are related to intraovarian exposure to AGE.

Density functional theory calculations and molecular dynamics simulations of the adsorption of biomolecules on graphene surfaces.

There is increasing attention in the unique biological and medical properties of graphene, and it is expected that biomaterials incorporating graphene will be developed for the graphene-based drug delivery systems and biomedical devices. Despite the importance of biomolecules-graphene interactions, a detailed understanding of the adsorption mechanism and features of biomolecules onto the surfaces of graphene is lacking. To address this, we have performed density functional theory (DFT) and molecular dynamics (MD) methods exploring the adsorption geometries, adsorption energies, electronic band structures, adsorption isotherms, and adsorption dynamics of l-leucine (model biomolecule)/graphene composite system. DFT calculations confirmed the energetic stability of adsorption model and revealed that electronic structure of graphene can be controlled by the adsorption direction of l-leucine. MD simulations further investigate the potential energy and van der Waals energy for the interaction processes of l-leucine/graphene system at different temperatures and pressures. We find that the van der Waals interaction between the l-leucine and the graphene play a dominant role in the adsorption process under a certain range of temperature and pressure, and the l-leucine molecule could be adsorbed onto graphene spontaneously in aqueous solution.